##
Company:
Qualcomm Korea YH
## Job Area:
Engineering Group, Engineering Group > Systems Engineering
General Summary:
Team & Impact
Qualcomm's Audio Systems team develops industry-leading voice and audio processing technologies deployed across mobile, compute, XR, and IoT devices worldwide.
In this role, you will help build next-generation Echo Cancellation and Noise Suppression (ECNS) solutions by combining classical signal processing with modern AI techniques. Working across the full product lifecycle — from algorithm and model development to system tuning and customer deployment — you will have direct impact on voice quality experienced by millions of users globally.
Job Overview
We are looking for a hands-on Staff Audio Systems Engineer with deep expertise in speech and audio signal processing and proven experience integrating AI/ML-based audio models into production systems.
You will develop and optimize voice and VoIP audio pipelines, integrate AI models within classical DSP processing chains, and collaborate with software and customer-facing engineering teams to deliver production-quality solutions across multiple platforms and chipsets.
Responsibilities
* Design, develop, and tune voice and VoIP audio pipelines, including ECNS, noise suppression, beamforming, and spectral filtering.
* Integrate and optimize AI/ML models within real-time signal processing chains for speech enhancement applications.
* Evaluate and improve speech quality using both objective metrics (e.g., PESQ, POLQA) and subjective listening evaluation methods.
* Work closely with software and customer-facing engineering teams to enable, validate, and debug end-to-end audio use cases.
* Support customer deployments and field issues through system tuning, model improvements, and root cause analysis and targeted system-level debugging.
* Lead or support model development, validation, and selection for ECNS and speech enhancement processing.
* Collaborate with research teams to continuously improve algorithms, models, and processing architectures.
Minimum Qualifications
* Strong background in Digital Signal Processing (DSP) for speech and audio applications.
* 10+ years of hands-on experience in audio/voice signal processing or VoIP systems.
* Proven experience with ECNS, noise suppression, or speech enhancement systems.
* Proficiency in MATLAB and/or Python for algorithm development and analysis.
* Strong C/C++ programming skills for real-time system implementation.
* Demonstrated experience working with cross-functional teams including software, systems, and customer engineering.
Preferred Qualifications
* Hands-on experience developing or integrating AI/ML models for speech and audio processing.
* Experience deploying DSP and AI solutions in real-time, low-latency embedded systems.
* Familiarity with audio quality evaluation frameworks and standards (e.g., PESQ, POLQA, ITU-T, 3GPP).
* Experience with Qualcomm Snapdragon platforms, Hexagon DSP, or equivalent mobile/edge chipsets.
* Exposure to acoustic measurement tools and lab evaluation environments (e.g., HEAD acoustics).
* Experience with mobile NPUs or hardware-accelerated inference for audio workloads.
Education Requirements
* Master's degree in Electrical Engineering, Computer Engineering, Signal Processing, Acoustics, or Applied Mathematics.
* PhD preferred, particularly for candidates with a research background in speech or audio processing.
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
Applicants: Qualcomm...
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